Fick’s second law 를 이용한 수냉식 발전기 고정자 권선의 건전성 예지

다국어 초록 (Multilingual Abstract)

Power generator is one of the most important component of electricity generation system to convert mechanical energy to electrical energy. It designed robustly to maintain high system reliability during operation time. But unexpected failure of the power generator could happen and it cause huge amount of economic and social loss. To keep it from unexpected failure, health prognostics should be carried out
In this research, We developed a health prognostic method of stator windings in power generator with statistical data analysis and degradation modeling against water absorption. We divided whole 42 windings into two groups, absorption suspected group and normal group. We built a degradation model of absorption suspected winding using Fick’s second law to predict upcoming absorption data. Through the analysis of data of normal group, we could figure out the distribution of data of normal windings. After that, we can properly predict absorption data of normal windings. With data prediction of two groups, we derived upcoming Directional Mahalanobis Distance (DMD) of absorption suspected winding and time vs DMD curve. Finally we drew the probability distribution of Remaining Useful Life of absorption suspected windings.

목차 (Table of Contents)

• ABSTRACT
• 1. 서론
• 2. 전전용량 예측
• 3. 예측 DMD 및 RUL의 확률밀도함수
• 4. 결론
• 참고문헌